The iconic first-ever view of a supermassive black hole sports a dramatic new look, thanks to machine learning.
The galaxy M87 is located some 54 million light-years away from Earth. At its heart is a black hole that contains some 6.5 billion times the mass of our sun. That behemoth is one of two main targets of the Event Horizon Telescope , a coalition of radio observatories located around the globe. By combining data from these sources, scientists essentially constructed a telescope the size of Earth—powerful enough to capture details of bright matter swirling around the black hole.
When scientists created the initial image, they relied on a generic machine-learning system to fill in the gaps. When a distinctive ring-shaped image emerged from that process, that helped convince scientists that they were truly looking at a black hole. But the ring’s blurriness made learning more about the black hole difficult.
PRIMO runs on rules derived from what scientists expect black holes to look like, which the algorithm gleaned from training on a host of simulated black holes with varying characteristics—different masses, different spins, and so on. The result is a much more specialized algorithm.
This is like applying a tik tok filter to someone's face and calling it a 'HD image'. Hogwash!
🤔 How can you use observation to tell you if your theory is correct, when the observation is constructed using the theory?
Nonsense
LOL...and using Photoshop I have made it even sharper!
But still with hypoperfusin in the anterior wall
They are rotated with respect to one another; the maxima don't line up.
Sorta underwhemling, sorry.
Iconic? Purrr.
7 billion times mass of our Sun! Amount of electromagnetic radiation energy -EMR- that includes radio waves, microwaves, infrared, light, ultraviolet, X-rays & gamma rays (all are part of the electromagnetic spectrum) trapped within the giant rings of light alone is incalculable.
Still looks like the Firefox logo
Enhance
Couldn’t they just have coloured the first one in?
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